Employee autonomy is not one measure. It can mean choosing which tasks to do, deciding how to do them, controlling work pace, setting working times or having a voice in compensation. Recent UK, European and U.S. research shows substantial differences across these dimensions, as well as clear gaps between employees and self-employed workers.
Contents
- How much control do UK employees report?
- How does UK autonomy vary by socioeconomic group?
- How does job autonomy differ across EU countries?
- How does European autonomy vary by age and education?
- What do hybrid-work statistics show?
- How do digital technologies affect autonomy?
- How do self-employed workers compare with employees?
How much control do UK employees report?
The CIPD Good Work Index 2024 survey report measured autonomy among non-self-employed UK workers. The survey separated control over tasks, pace, methods and working times, which matters because an employee may have discretion in one area but not another.
Task control was limited for a sizable minority. In 2024, 24% of non-self-employed workers said they had a lot of control over the tasks they had to do, while 38% said they had some control. The remaining 39% reported little or no control over their tasks.
Control over pace was distributed somewhat differently: 30% said they had a lot of control over their work pace, 34% had some control, and 35% had little or no control. These results suggest that choosing or influencing the work itself does not necessarily mean choosing how quickly it must be completed.
Workers reported more discretion over the method of working. A total of 41% said they had a lot of control over how their work was done, 36% had some control, and 23% had little or no control. Method autonomy was therefore the strongest of the four UK measures supplied in the report.
Start and finish times were the most constrained measure. Only 27% of non-self-employed workers said they had a lot of control over those times, and 28% had some control. A larger 45% said they had little or no control over when their working day started and ended.
Taken together, the UK figures describe autonomy as uneven rather than absent. The share reporting a lot of control ranged from 24% for task choice to 41% for how work was done, while the share reporting little or no control ranged from 23% for work methods to 45% for start and finish times. These are separate survey responses, not a single autonomy score.
How does UK autonomy vary by socioeconomic group?
The 2024 Good Work Index also shows a socioeconomic divide. In the report, ABC1 workers and C2DE workers were compared using standard socioeconomic groupings. ABC1 workers consistently reported more high control than C2DE workers across all four autonomy measures.
| Measure | ABC1: a lot of control | C2DE: a lot of control |
|---|---|---|
| Tasks | 25% | 19% |
| Work pace | 37% | 30% |
| How work was done | 45% | 32% |
| Start and finish times | 31% | 17% |
The narrowest reported gap was for task control: 25% of ABC1 workers said they had a lot of control, compared with 19% of C2DE workers. The difference was larger for pace, where the respective figures were 37% and 30%.
Method autonomy showed a wider contrast. Forty-five percent of ABC1 workers said they had a lot of control over how work was done, compared with 32% of C2DE workers. The largest gap in the supplied measures concerned working times: 31% of ABC1 workers reported a lot of control over start and finish times, versus 17% of C2DE workers.
These UK results describe reported control in 2024; they do not by themselves establish why the groups differ. They do show that access to discretion is not evenly distributed across the workforce, particularly when control involves work methods or scheduling.
How does job autonomy differ across EU countries?
Eurostat’s Job autonomy and pressure at work - statistics provides a broader European comparison for 2019. Its measure concerns influence over both the content and order of tasks in a person’s main job. In the EU-27, 49.6% of employed people had some or large influence over those tasks.
Country differences were substantial. Portugal had the highest 2019 share of employed people with high job autonomy, at 75.5%. Luxembourg followed closely at 73.3%. At the lower end of the supplied country figures, Cyprus recorded 19.8% and Slovakia 23.2% with high job autonomy.
The inverse measure also illustrates the spread. Across the EU-27, 31.5% of employed people had little or no influence over both the content and order of their main-job tasks. Slovakia had the highest supplied share in this category, at 58.1%, followed by Croatia at 53.6%. Luxembourg’s share was 11.3%, while Portugal’s was 14.5%.
| EU-27 comparison, 2019 | High job autonomy | Little or no influence over both task dimensions |
|---|---|---|
| EU-27 | 49.6% with some or large influence | 31.5% |
| Portugal | 75.5% | 14.5% |
| Luxembourg | 73.3% | 11.3% |
| Slovakia | 23.2% | 58.1% |
| Cyprus | 19.8% | Not supplied |
| Croatia | Not supplied | 53.6% |
The table combines the available indicators, but the high-autonomy and little-or-no-influence figures are not necessarily mathematical complements because the source describes categories and thresholds separately. The measurement year is 2019, so these figures should not be read as current 2026 conditions.
How does European autonomy vary by age and education?
Eurostat’s 2019 EU-27 data also show differences by personal and employment characteristics. Among employed people aged 50–74, 53.9% had some or large influence over the content and order of their tasks. Among those aged 15–34, the corresponding share was 42.1%.
Educational attainment was associated with a larger difference in the supplied figures. The share with some or large influence was 60.7% among employed people with high educational attainment, compared with 42.9% among those with low educational attainment. These results describe an association in the 2019 data, not a causal effect of age or education.
Employment status showed an even wider contrast. In the EU-27, 43.7% of employees had some or large influence over the content and order of their main-job tasks. The figure for self-employed people was 83.0%. Among self-employed people with employees, 84.0% had high job autonomy; among self-employed people without employees, the figure was 82.6%.
The distinction between employees and self-employed workers is important when interpreting autonomy statistics. The categories reflect different work arrangements and responsibilities, and the Eurostat measure focuses on influence over task content and order. It does not measure every form of independence, such as control over income, workload or working hours.
What do hybrid-work statistics show?
The European Foundation for the Improvement of Living and Working Conditions report on the shift to hybrid working used the 2024 European Working Conditions Survey to classify hybrid arrangements. About 24% of the EU workforce were classified as hybrid employees combining remote and on-site work.
Among EU hybrid employees, 48% were in fully flexible arrangements. A further 17% were in location-flexible arrangements, 13% in time-flexible arrangements and 22% in controlled hybrid arrangements. The categories indicate that “hybrid” does not automatically mean the same level of employee discretion: some arrangements allow flexibility in both location and time, while others retain stronger controls.
The distribution is useful for interpreting autonomy claims about remote work. Nearly half of hybrid employees were in the fully flexible category, but the other categories together represented the remainder. A hybrid label alone therefore does not specify who decides where or when work is performed.
How do digital technologies affect autonomy?
The EU-OSHA Healthy Workplaces report reports findings from the 2022 OSH Pulse survey. The page identifies several ways digital technologies can change work organization. These results are from that survey and should not be treated as a direct measurement of all workers in 2024 or 2026.
Overall, 44% of workers said digital technologies resulted in them working alone. Thirty-seven percent said the technologies increased surveillance at work, while 19% said they reduced their autonomy. At the same time, 52% said digital technologies determined their work speed or pace, and 33% said they increased their workload.
The home-based remote-worker figures show a different mix of flexibility and pressure. Among this group, 33.2% reported an increase in workload, 61.2% said digital technologies determined their speed or pace of work, and 56.8% reported social isolation. Severe time pressure or work overload was reported by 46.9%.
These figures do not prove that digital tools cause every reported outcome, and the supplied source presents the findings as worker responses. They do show why autonomy should be separated from location flexibility. A person may work from home while having digitally determined pace, higher workload or less social connection.
How do self-employed workers compare with employees?
Gallup’s Forty-Six Percent of Self-Employed Workers Hold Quality Jobs reports results from its 2026 American Job Quality Study. The supplied report does not state the measurement period, so these figures should be identified as findings in a 2026 report rather than assigned to a specific survey year.
Across the work-structure-and-autonomy dimension, 16% of U.S. workers experienced high-quality conditions. The rate was 29% among self-employed U.S. workers, compared with 14% among employees. This difference is consistent with the broader Eurostat pattern, although the two studies use different populations, years and definitions.
Gallup also reported a direct measure of method discretion: 57% of self-employed U.S. workers strongly agreed they had freedom to decide how to do their work, compared with 26% of employees. Scheduling influence was also higher among the self-employed. About 60% said they had a lot of input into each of their weekly hours, workdays and daily start times, versus 22%–25% of employees for those scheduling measures.
Compensation voice showed another gap. Sixty-one percent of self-employed U.S. workers said they had the desired influence over compensation, compared with 31% of employees. Compensation influence is distinct from task autonomy, but it broadens the picture of what workers may mean by having a voice in how work is structured.
Across these studies, employee autonomy is best read as a set of measurable choices rather than a single universal percentage. UK workers reported the least high control over task choice and start and finish times; EU results varied sharply by country, age, education and employment status; hybrid work combined several levels of flexibility; and the U.S. comparison showed stronger reported work-structure autonomy among self-employed workers. Each result remains tied to its stated geography, population, definition and measurement period.